machine learning
Banks built rules for yesterday’s crime and RegTech is trying to fix that
Criminals are moving money across borders faster, and financial institutions are feeling the squeeze. Compliance teams feel this strain every day as they try to keep up with …
How researchers are teaching AI agents to ask for permission the right way
People are starting to hand more decisions to AI agents, from booking trips to sorting digital files. The idea sounds simple. Tell the agent what you want, then let it work …
New observational auditing framework takes aim at machine learning privacy leaks
Machine learning (ML) privacy concerns continue to surface, as audits show that models can reveal parts of the labels (the user’s choice, expressed preference, or the result …
The privacy panic around machine learning is overblown
We often hear warnings about how machine learning (ML) models may expose sensitive information tied to their training data. The concern is understandable. If a model was …
AI can flag the risk, but only humans can close the loop
In this Help Net Security interview, Dilek Çilingir, Global Forensic & Integrity Services Leader at EY, discusses how AI is transforming third-party assessments and due …
Researchers develop AI system to detect scam websites in search results
Scam websites tied to online shopping, pet sales, and other e-commerce schemes continue to cause millions in losses each year. Security tools can accurately detect fraudulent …
When loading a model means loading an attacker
You probably think twice before downloading a random app or opening an unfamiliar email attachment. But how often do you stop to consider what happens when your team downloads …
The energy sector is ground zero for global cyber activity
A new study from the Karlsruhe Institute of Technology shows how geopolitical tensions shape cyberattacks on power grids, fuel systems, and other critical infrastructure. How …
CISOs brace for a new kind of AI chaos
AI is being added to business processes faster than it is being secured, creating a wide gap that attackers are already exploiting, according to the SANS Institute. The scale …
KillChainGraph: Researchers test machine learning framework for mapping attacker behavior
A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior …
New framework aims to outsmart malware evasion tricks
Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, …
Review: Adversarial AI Attacks, Mitigations, and Defense Strategies
Adversarial AI Attacks, Mitigations, and Defense Strategies shows how AI systems can be attacked and how defenders can prepare. It’s essentially a walkthrough of …